Yuyang Li

JW-FD: A 15-Year Multimodal Dataset for Solar Flare Forecasting

Solar flares drive severe space weather hazards, and forecasting their occurrence remains a central challenge for both heliophysics and operational space weather services. Data-driven methods require long-horizon datasets in which images, magnetic features, and flare labels are c...

A Comparative Study of Machine-Learning Methods for Early Classification from Sparse Astronomical Light Curves

The booming data volume of modern time-domain surveys demands fast, robust early classification of sparsely sampled light curves, as newly discovered transients typically have only a handful of observations. We compare classifiers for extremely sparse light curves (3–30 observati...

Astronomical spectra as language: Order-agnostic foundation model for low-SNR reconstruction and stellar parameter prediction

Large-scale spectroscopic surveys contain numerous low-SNR stellar spectra that are difficult to analyze with traditional pipelines but remain valuable for Galactic archaeology, chemical-evolution studies, and population-level stellar characterization. We propose an order-agnosti...